Field Marketing Verification Automation
AI ServicesWorkflow AutomationData Analysis

Field Marketing Verification Automation

Purple Block built an intelligent field marketing verification system for one of India's largest FMCG conglomerates — replacing manual oversight with automated image validation, quality tagging, and duplicate detection to ensure accurate and fraud-proof salesman compensation.

Client

Leading Indian FMCG Conglomerate

Industry

Fast-Moving Consumer Goods

Client Partner

One of India's most recognised FMCG conglomerates, running large-scale on-ground marketing campaigns across thousands of retail touchpoints nationwide. With a vast field salesforce operating across geographies, ensuring accountability and accuracy at scale is a constant operational challenge.

The Challenge

On-ground marketing campaigns are only as effective as their execution. When a campaign relies on a large distributed salesforce to physically place promotional material at retail outlets, verifying that the work was done — and done correctly — becomes a significant problem at scale. The client had no reliable way to confirm placements were made, no mechanism to assess quality, and no system to detect fraudulent or duplicate submissions. Compensation was largely based on self-reporting, leaving the client exposed to inaccurate payouts and no real visibility into how their campaigns were actually performing on the ground. For a conglomerate running campaigns across thousands of touchpoints, the cost of this gap — both financial and operational — was substantial.

Our Solution

Mobile Field Submission Portal

  • Built a mobile portal where salesmen register their identity and location details, and submit photographic proof of placements directly from the field.
  • Designed for simplicity and ease of use across a distributed salesforce operating in diverse geographies.

Automated Image Verification Pipeline

  • Every submission passes through an automated verification pipeline — assessed for quality and tagged by placement visibility.
  • Cross-checked for duplication to detect and eliminate fraudulent or repeat submissions at source.

Automated Compensation Engine

  • Compensation is calculated and assigned automatically based on verified submission quality.
  • Removes human subjectivity from the process entirely, ensuring accurate and fraud-proof salesman payouts.

The Impact

Key MetricApprox. Improvement
Compensation AccuracyFully automated and tied to verified submission quality
Fraud PreventionDuplicate detection eliminates repeat submissions at source
Campaign VisibilityReal-time view of on-ground execution across all outlets
Operational EfficiencyRemoved manual oversight from the entire verification process

The client moved from a largely unverifiable, self-reported compensation model to a fully automated, evidence-based system. Campaign execution is now visible in real time, compensation is tied directly to verified performance, and the possibility of fraudulent submissions has been eliminated at the source. The client now has the infrastructure to run field marketing campaigns at any scale — with complete confidence in the data coming back from the ground.

In a nutshell

Purple Block built an end-to-end field verification platform designed for simplicity in the field and rigour in the back end. Salesmen access a mobile portal, register their identity and location details, and submit photographic proof of their placements directly from the field. Every submission then passes through an automated verification pipeline — assessed for quality, tagged by placement visibility, and cross-checked for duplication. Compensation is calculated and assigned automatically based on verified quality, removing human subjectivity from the process entirely.

Technologies Used

PythonComputer VisionMachine LearningCloud InfrastructureImage Processing